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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
    11. 7695
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    Explanations

    size comparisons - identifying mentions of items being too big, large, small, or very large in comparison to others

    oai_token-act-pair · gpt-3.5-turbo

    terms related to size

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inker
    -0.69
    Pont
    -0.66
    tsky
    -0.64
    ©¶æ
    -0.63
    Ĥ
    -0.61
     Treat
    -0.60
    uel
    -0.60
     Triangle
    -0.58
    ¬¼
    -0.58
     Crown
    -0.57
    POSITIVE LOGITS
     (~
    0.82
     proportions
    0.82
     (>
    0.79
    sighted
    0.78
     quantities
    0.77
     proportion
    0.77
     amounts
    0.77
    itud
    0.75
     compared
    0.74
     diameter
    0.74
    Activations Density 0.135%

    No Known Activations